My master's thesis focused on teaching robots from a raw visual input.
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Updated
Jun 26, 2024 - Python
My master's thesis focused on teaching robots from a raw visual input.
Using Imitation Learning for a Wordle agent
The second project for Machine Learning course at Faculty of Computing.
Reinforcement Learning + Imitation Learning based approach to AI Driving Olympics
Official repository of Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios
A Japanese (Riichi) Mahjong AI Framework
For imitation learning using real robot
Deep Learning, Computer Vision and Machine Learning techniques for Autonomous Car.
Autonomous driving with deep learning
deep visuomotor behavior cloning framework
Developed a behavioral cloning model for autonomous vehicle navigation in the Udacity Simulator using TensorFlow.
SwapTransformer: Highway Overtaking Tactical Planner Model via Imitation Learning on OSHA Dataset
Code of our "DiffClone" Paper presented in TOTO Workshop at NeurIPS 2023
My attempt to use Machine Learning to drive a car around the track on the Udacity Self-Driving Car Simulator (ISY503, graded 82/100)
Code for NeurIPS 2023 paper Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
Deep Reinforcement Learning and Imitation Learning with sim2sim exploration and behavior cloning
Deep RL Assignments
Official codebase for Sirius: Robot Learning on the Job
Self-Driving Car Behavioral Cloning based End-to-End learning, Computer Vision & Deep Neural Network
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